nimarb / pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

Date Created 2019-11-30 (4 years ago)

Commits 18 (last one 3 years ago)

Stargazers 304 (0 this week)

Watchers 7 (0 this week)

Forks 70

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RepositoryStats indexes 534,551 repositories, of these nimarb/pytorch_influence_functions is ranked #124,371 (77th percentile) for total stargazers, and #258,950 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,822/103,470.

nimarb/pytorch_influence_functions is also tagged with popular topics, for these it's ranked: deep-learning (#2,658/7827), pytorch (#1,817/5588)

Other Information

nimarb/pytorch_influence_functions has 5 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 21 open issues and 10 closed issues.

All Topics

pytorch deep-learning influence-functions pytorch-implementation

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updated: 2024-06-28 @ 05:01am, id: 225033158 / R_kgDODWm7xg